首页> 外文期刊>Journal of the air & waste management association >Physicochemical factors and sources of particulate matter at residential urban environment in Kuala Lumpur
【24h】

Physicochemical factors and sources of particulate matter at residential urban environment in Kuala Lumpur

机译:吉隆坡居民城市环境中的物理化学因素和颗粒物来源

获取原文
获取原文并翻译 | 示例
           

摘要

Long-term measurements (2004-2011) of PM_(10) (particulate matter with an aerodynamic diameter <10 μm) and trace gases (carbon monoxide [CO], ozone [O_3], nitrogen oxide [NO], oxides of nitrogen [NO_x], nitrogen dioxide [NO_2], sulfur dioxide [SO_2], methane [CH_4], nonmethane hydrocarbon [NMHC]) have been conducted to study the effect of physicochemical factors on the PM_(10) concentration. In addition, this study includes source apportionment of PM_(10) in Kuala Lumpur urban environment. An advanced principal component analysis (PCA) technique coupled with absolute principal component scores (APCS) and multiple linear regression (MLR) has been applied. The average annual concentration of PM_(10) for 8 yr is 51.3 ± 25.8 fig m~(-3), which exceeds the Recommended Malaysian Air Quality Guideline (RMAQG) and international guideline values. Detail analysis shows the dependency of PM_(10) on the linear changes of the motor vehicles in use and the amount of biomass burning, particularly from Sumatra, Indonesia, during southwesterly monsoon. The main sources of PM_(10) identified by PCA-APCS-MLR are traffic combustion (28%), ozone coupled with meteorological factors (20%), and windblown particles (1%). However, the apportionment procedure left 28.0 μg m~(-3), that is, 51% of PM_(10) undetermined. Implications: Air quality is always a top concern around the globe. Especially in the South Asian regions, measures are not yet sufficient; as revealed in our studies, the concentrations of particulate matters exceed the tolerable limits. Long-term data analysis and characterization of particular matters and their sources will aid the policy makers and the concerned authority to adapt measures and policies according to the circumstances. Additionally, similar intensive studies will give insight about future implications of air quality management.
机译:长期测量(2004-2011)PM_(10)(空气动力学直径<10μm的颗粒物)和微量气体(一氧化碳[CO],臭氧[O_3],氮氧化物[NO],氮氧化物[进行了NO_x,二氧化氮[NO_2],二氧化硫[SO_2],甲烷[CH_4],非甲烷碳氢化合物[NMHC]的研究,研究了理化因素对PM_(10)浓度的影响。此外,该研究还包括吉隆坡城市环境中PM_(10)的来源分配。一种先进的主成分分析(PCA)技术与绝对主成分评分(APCS)和多元线性回归(MLR)相结合。 8年内PM_(10)的年平均浓度为51.3±25.8 fig m〜(-3),超过了《马来西亚空气质量推荐准则》(RMAQG)和国际准则值。详细分析显示,PM_(10)对使用中的汽车的线性变化和西南季风期间尤其是印度尼西亚苏门答腊的生物质燃烧量的依赖性。 PCA-APCS-MLR识别出的PM_(10)的主要来源是交通燃烧(28%),臭氧与气象因素结合(20%)和风吹颗粒(1%)。但是,分配过程剩下28.0μgm〜(-3),即未确定的PM_(10)的51%。启示:空气质量一直是全球关注的首要问题。特别是在南亚地区,措施还不够。正如我们的研究所揭示的那样,颗粒物的浓度超过了容许极限。对特定问题及其来源的长期数据分析和特征描述将帮助决策者和有关当局根据情况调整措施和政策。此外,类似的深入研究将深入了解空气质量管理的未来影响。

著录项

  • 来源
  • 作者单位

    Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia;

    School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia,Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;

    School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;

    School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia,School of Industrial Technology (Environmental Division), Universiti Sains Malaysia, Penang, Malaysia;

    Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia,School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;

    School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号